Applied Signal Processing: A MATLAB™-Based Proof of Concept (Signals and Communication Technology (Paperback))
Applied Signal Processing: A MATLAB-Based Proof of Concept benefits readers by including the teaching background of experts in various applied signal processing fields and presenting them in a project-oriented framework. Unlike many other MATLAB-based textbooks which only use MATLAB to illustrate theoretical aspects, this book provides fully commented MATLAB code for working proofs-of-concept. The MATLAB code provided on the accompanying online files is the very heart of the material. In addition each chapter offers a functional introduction to the theory required to understand the code as well as a formatted presentation of the contents and outputs of the MATLAB code.
Each chapter exposes how digital signal processing is applied for solving a real engineering problem used in a consumer product. The chapters are organized with a description of the problem in its applicative context and a functional review of the theory related to its solution appearing first. Equations are only used for a precise description of the problem and its final solutions. Then a step-by-step MATLAB-based proof of concept, with full code, graphs, and comments follows. The solutions are simple enough for readers with general signal processing background to understand and they use state-of-the-art signal processing principles. Applied Signal Processing: A MATLAB-Based Proof of Concept is an ideal companion for most signal processing course books. It can be used for preparing student labs and projects.
Why Read This Book
You will get a project‑oriented, code‑first introduction to applied signal processing: each chapter gives concise theory and fully commented MATLAB proofs‑of‑concept so you can run, inspect, and adapt working algorithms. If you prefer learning by building and experimenting rather than wading through long proofs, this book accelerates prototyping of audio, speech and general DSP ideas.
Who Will Benefit
Students, instructors, and practicing engineers who want rapid MATLAB prototypes of DSP algorithms for audio, speech and applied signal processing tasks.
Level: Intermediate — Prerequisites: Basic signals & systems (discrete‑time concepts and Fourier/DTFT), linear algebra, and familiarity with MATLAB scripting and plotting.
Key Takeaways
- Implement common DSP algorithms and workflows as fully working MATLAB proofs‑of‑concept.
- Perform spectral analysis and windowing to analyze real audio and speech signals.
- Design and apply FIR and IIR digital filters and evaluate their time/frequency responses.
- Prototype practical speech/audio processing blocks (filtering, feature extraction, simple coding).
- Use multirate and time‑frequency techniques and basic wavelet tools for applied problems.
- Adapt and extend provided MATLAB code to validate experimental ideas and classroom projects.
Topics Covered
- Preface and How to Use the Code
- Introduction to MATLAB for Signal Processing
- Discrete‑Time Signals and Fourier Analysis in Practice
- Windowing, Spectral Estimation and the FFT
- FIR and IIR Filter Design with MATLAB
- Multirate Processing and Sampling‑Rate Conversion
- Time‑Frequency Analysis and Wavelets (applied)
- Adaptive Filtering and Practical Algorithms
- Audio and Speech Processing Case Studies
- System Identification and Practical Measurement
- Practical Communications/Modulation Examples (proofs‑of‑concept)
- Project Examples, Exercises and Annotated Code Listings
- Appendices: MATLAB tips and recommended toolboxes
Languages, Platforms & Tools
How It Compares
More project‑ and code‑focused than classic theory texts (e.g., Oppenheim & Schafer); similar in MATLAB emphasis to "Digital Signal Processing Using MATLAB" titles but with a stronger focus on runnable proofs‑of‑concept and applied audio/speech case studies.
